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Ten years of research change using Google Trends: From the perspective of big data utilizations and applications

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Cited by:

  1. Mihaela Simionescu & Javier Cifuentes-Faura, 2022. "Forecasting National and Regional Youth Unemployment in Spain Using Google Trends," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1187-1216, December.
  2. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
  3. Zhongchen Song & Tom Coupé, 2023. "Predicting Chinese consumption series with Baidu," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(3), pages 429-463, July.
  4. Emanuele Ciani & Adeline Delavande & Ben Etheridge & Marco Francesconi, 2023. "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," The Economic Journal, Royal Economic Society, vol. 133(649), pages 98-129.
  5. Liliana Cori & Gabriele Donzelli & Francesca Gorini & Fabrizio Bianchi & Olivia Curzio, 2020. "Risk Perception of Air Pollution: A Systematic Review Focused on Particulate Matter Exposure," IJERPH, MDPI, vol. 17(17), pages 1-27, September.
  6. Juan Camilo Anzoátegui-Zapata & Juan Camilo Galvis-Ciro, 2020. "Disagreements in Consumer Inflation Expectations: Empirical Evidence for a Latin American Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 99-122, November.
  7. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
  8. Szalkowski, Gabriel Andy & Mikalef, Patrick, 2023. "Understanding digital platform evolution using compartmental models," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  9. van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
  10. Malyy, Maksim & Tekic, Zeljko & Podladchikova, Tatiana, 2021. "The value of big data for analyzing growth dynamics of technology-based new ventures," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  11. Vera Z. Eichenauer & Ronald Indergand & Isabel Z. Martínez & Christoph Sax, 2022. "Obtaining consistent time series from Google Trends," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 694-705, April.
  12. Alexander Genoe & Ronald Rousseau & Sandra Rousseau, 2021. "Applying Google Trends’ Search Popularity Indicator to Professional Cycling," Journal of Sports Economics, , vol. 22(4), pages 459-485, May.
  13. Stolbov, Mikhail & Shchepeleva, Maria & Karminsky, Alexander, 2022. "When central bank research meets Google search: A sentiment index of global financial stress," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
  14. Olivier Gergaud & Victor Ginsburgh, 2019. "Using Google Trends to Evaluate Cultural Events," Working Papers ECARES 2019-24, ULB -- Universite Libre de Bruxelles.
  15. Nikolopoulos, Konstantinos & Punia, Sushil & Schäfers, Andreas & Tsinopoulos, Christos & Vasilakis, Chrysovalantis, 2021. "Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions," European Journal of Operational Research, Elsevier, vol. 290(1), pages 99-115.
  16. Diaz-Balteiro, L. & Alfranca, O. & Voces, R. & Soliño, M., 2023. "Using google search patterns to explain the demand for wild edible mushrooms," Forest Policy and Economics, Elsevier, vol. 152(C).
  17. Goldman, Daniel S, 2020. "Initial Observations of Psychological and Behavioral Effects of COVID-19 in the United States, Using Google Trends Data," SocArXiv jecqp, Center for Open Science.
  18. Jones, Jason J., 2021. "A Dataset for the Study of Identity at Scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio - 2015-2020," SocArXiv cm5g7, Center for Open Science.
  19. Jun, Seung-Pyo & Yoo, Hyoung Sun & Lee, Jae-Seong, 2021. "The impact of the pandemic declaration on public awareness and behavior: Focusing on COVID-19 google searches," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  20. Chan-Young Kwon, 2023. "Research and Public Interest in Mindfulness in the COVID-19 and Post-COVID-19 Era: A Bibliometric and Google Trends Analysis," IJERPH, MDPI, vol. 20(5), pages 1-16, February.
  21. Tea Livaic & Ana Perisic, 2019. "What can Google Tell us about Bitcoin Trading Volume in Croatia? Evidence from the Online Marketplace Localbitcoins," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(4), pages 707-715.
  22. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  23. Caetano, Marco Antonio Leonel, 2021. "Political activity in social media induces forest fires in the Brazilian Amazon," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  24. Livio Fenga, 2020. "Filtering and prediction of noisy and unstable signals: The case of Google Trends data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 281-295, March.
  25. Baehre, Sven & O'Dwyer, Michele & O'Malley, Lisa & Story, Vicky M, 2022. "Customer mindset metrics: A systematic evaluation of the net promoter score (NPS) vs. alternative calculation methods," Journal of Business Research, Elsevier, vol. 149(C), pages 353-362.
  26. David Zenz, 2020. "Die Vernetzung Wiens mit den Städten Europas," wiiw Statistical Reports 9, The Vienna Institute for International Economic Studies, wiiw.
  27. Serhan Cevik, 2022. "Where should we go? Internet searches and tourist arrivals," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4048-4057, October.
  28. Karol Król & Dariusz Zdonek, 2023. "Cultural Heritage Topics in Online Queries: A Comparison between English- and Polish-Speaking Internet Users," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
  29. Fernando, Angeline Gautami & Aw, Eugene Cheng-Xi, 2023. "What do consumers want? A methodological framework to identify determinant product attributes from consumers’ online questions," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  30. Sara Ayllón & Samuel Lado, 2022. "Food Hardship in the US During the Pandemic: What Can We Learn From Real‐Time Data?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 518-540, June.
  31. Paravee Maneejuk & Woraphon Yamaka, 2019. "Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends," Mathematics, MDPI, vol. 7(11), pages 1-29, November.
  32. Esther Prieto-Jiménez & Luis López-Catalán & Blanca López-Catalán & Guillermo Domínguez-Fernández, 2021. "Sustainable Development Goals and Education: A Bibliometric Mapping Analysis," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
  33. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
  34. Jun Yang & Yutong Zhang & Yixiong Xiao & Shaoqing Shen & Mo Su & Yuqi Bai & Jingbo Zhou & Peng Gong, 2021. "Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
  35. Chiemela Victor Amaechi & Idris Ahmed Ja’e & Ahmed Reda & Xuanze Ju, 2022. "Scientometric Review and Thematic Areas for the Research Trends on Marine Hoses," Energies, MDPI, vol. 15(20), pages 1-31, October.
  36. David Coble & Pablo Pincheira, 2021. "Forecasting building permits with Google Trends," Empirical Economics, Springer, vol. 61(6), pages 3315-3345, December.
  37. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Ribeiro-Soriano, Domingo, 2020. "Does investor attention influence water companies’ stock returns?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  38. Emmanuel Sirimal Silva & Hossein Hassani & Dag Øivind Madsen & Liz Gee, 2019. "Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends," Social Sciences, MDPI, vol. 8(4), pages 1-23, April.
  39. Nirmalya Thakur & Chia Y. Han, 2021. "Country-Specific Interests towards Fall Detection from 2004–2021: An Open Access Dataset and Research Questions," Data, MDPI, vol. 6(8), pages 1-21, August.
  40. Ball, Kirstie & Canhoto, Ana & Daniel, Elizabeth & Dibb, Sally & Meadows, Maureen & Spiller, Keith, 2020. "Organizational tensions arising from mandatory data exchange between the private and public sector: The case of financial services," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  41. Rita Yi Man Li & Yi Lut Li & M. James C. Crabbe & Otilia Manta & Muhammad Shoaib, 2021. "The Impact of Sustainability Awareness and Moral Values on Environmental Laws," Sustainability, MDPI, vol. 13(11), pages 1-26, May.
  42. Amanda Wuth & Magdalena Cismaru, 2021. "A Conceptual and Operational Review of the Negative Financial Health Terminology and Constructs," International Business Research, Canadian Center of Science and Education, vol. 14(4), pages 1-1, April.
  43. Juan D Montoro-Pons & Manuel Cuadrado-García, 2021. "Analyzing online search patterns of music festival tourists," Tourism Economics, , vol. 27(6), pages 1276-1300, September.
  44. Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
  45. Suckert, Lisa, 2021. "Von der Pandemie zu einer Neuordnung der Zeit? Zeitsoziologische Perspektiven auf das Verhältnis von Zeitlichkeit, Wirtschaft und Staat," MPIfG Discussion Paper 21/7, Max Planck Institute for the Study of Societies.
  46. Rik Chakraborti & Gavin Roberts, 2020. "Anti-Gouging Laws, Shortages, and COVID-19: Insights from Consumer Searches," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 35(Winter 20), pages 1-20.
  47. Tsoyu Calvin Lin & Shih-Hsun Hsu, 2020. "Forecasting Housing Markets from Number of Visits to Actual Price Registration System," International Real Estate Review, Global Social Science Institute, vol. 23(4), pages 505-536.
  48. Simionescu, Mihaela & Raišienė, Agota Giedrė, 2021. "A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  49. Yakubu, Hanan & Kwong, C.K., 2021. "Forecasting the importance of product attributes using online customer reviews and Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  50. Santiago Carbó-Valverde & Pedro J. Cuadros-Solas & Francisco Rodríguez-Fernández, 2022. "Entrepreneurial, institutional and financial strategies for FinTech profitability," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-36, December.
  51. Bert Leysen & Pieter-Paul Verhaeghe, 2023. "Searching for migration: estimating Japanese migration to Europe with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4603-4631, October.
  52. Wang, Huamao & Yao, Yumei & Salhi, Said, 2020. "Tension in big data using machine learning: Analysis and applications," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  53. Krzysztof Drachal & Daniel González Cortés, 2022. "Estimation of Lockdowns’ Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data," IJERPH, MDPI, vol. 20(1), pages 1-24, December.
  54. Georgina Santos & Nikolay Nikolaev, 2021. "Mobility as a Service and Public Transport: A Rapid Literature Review and the Case of Moovit," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
  55. Hyoung Sun Yoo & Chul Lee & Seung-Pyo Jun, 2018. "The Characteristics of SMEs Preferring Cooperative Research and Development Support from the Government: The Case of Korea," Sustainability, MDPI, vol. 10(9), pages 1-18, August.
  56. Jolana Stejskalova, 2023. "We investigated the link between stock returns of automobile companies, Fama French factors, and behavioral attention, represented by demand for a selected car brand belonging to an automobile company," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(3), pages 202-221, March.
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